Evaluation of a multiparametric MRI radiomic-based approach for stratification of equivocal PI-RADS 3 and upgraded PI-RADS 4 prostatic lesions

T2w‐MRI signal normalization affects radiomics features reproducibility

(2020) Elisa Scalco et al.   MEDICAL PHYSICS

Perspective: a critical assessment of PI-RADS 2.1

(2020) T. Ullrich et al.   Abdominal Radiology

Multiparametric MRI for Prostate Cancer Detection: New Insights into the Combined Use of a Radiomic Approach with Advanced Acquisition Protocol

(2020) Serena Monti et al.   Cancers

Noninvasive Prediction of High-Grade Prostate Cancer via Biparametric MRI Radiomics

(2020) Lixin Gong et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Multicenter analysis of clinical and MRI characteristics associated with detecting clinically significant prostate cancer in PI-RADS (v2.0) category 3 lesions

(2020) Bashir Al Hussein Al Awamlh et al.   UROLOGIC ONCOLOGY-SEMINARS AND ORIGINAL INVESTIGATIONS

Round table: arguments in supporting abbreviated or biparametric MRI of the prostate protocol

(2020) Michele Scialpi et al.   Abdominal Radiology

Assessment of DCE Utility for PCa Diagnosis Using PI-RADS v2.1: Effects on Diagnostic Accuracy and Reproducibility

(2020) Valentina Brancato et al.   Diagnostics

Clinico-radiological characteristic-based machine learning in reducing unnecessary prostate biopsies of PI-RADS 3 lesions with dual validation

(2020) Yansheng Kan et al.   EUROPEAN RADIOLOGY

Multiparametric MRI for Prostate Cancer Characterization: Combined Use of Radiomics Model with PI-RADS and Clinical Parameters

(2020) Piotr Woźnicki et al.   Cancers

Combining clinical and MRI data to manage PI-RADS 3 lesions and reduce excessive biopsy

(2020) Shuo Yang et al.   Translational Andrology and Urology

Gray-level discretization impacts reproducible MRI radiomics texture features

(2019) Loïc Duron et al.   PLoS One

Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2

(2019) Baris Turkbey et al.   EUROPEAN UROLOGY

Multiparametric MRI and radiomics in prostate cancer: a review

(2019) Yu Sun et al.   AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE

Which clinical and radiological characteristics can predict clinically significant prostate cancer in PI-RADS 3 lesions? A retrospective study in a high-volume academic center

(2019) Isabeau Hermie et al.   EUROPEAN JOURNAL OF RADIOLOGY

Repeatability of Multiparametric Prostate MRI Radiomics Features

(2019) Michael Schwier et al.   Scientific Reports

Prediction of prostate cancer aggressiveness with a combination of radiomics and machine learning-based analysis of dynamic contrast-enhanced MRI

(2019) B. Liu et al.   CLINICAL RADIOLOGY

Machine learning algorithm validation with a limited sample size

(2019) Andrius Vabalas et al.   PLoS One

Value of Dynamic Contrast-Enhanced (DCE) MR Imaging in Peripheral Lesions in PI-RADS-4 Patients

(2019) Tim Ullrich et al.   ROFO-FORTSCHRITTE AUF DEM GEBIET DER RONTGENSTRAHLEN UND DER BILDGEBENDEN VERFAHREN

Non-Gaussian models of diffusion weighted imaging for detection and characterization of prostate cancer: a systematic review and meta-analysis

(2019) V. Brancato et al.   Scientific Reports

The effects of volume of interest delineation on MRI-based radiomics analysis: evaluation with two disease groups

(2019) Xiao Zhang et al.   CANCER IMAGING

The Value of Prostate-specific Antigen Density for Prostate Imaging-Reporting and Data System 3 Lesions on Multiparametric Magnetic Resonance Imaging: A Strategy to Avoid Unnecessary Prostate Biopsies

(2019) Magdalena Görtz et al.   European Urology Focus

Influence of inter-observer delineation variability on radiomics stability in different tumor sites

(2018) Matea Pavic et al.   ACTA ONCOLOGICA

Radiomics and radiogenomics of prostate cancer

(2018) Clayton P. Smith et al.   Abdominal Radiology

Multimodal Radiomic Features for the Predicting Gleason Score of Prostate Cancer

(2018) Ahmad Chaddad et al.   Cancers

Predicting Gleason Score of Prostate Cancer Patients Using Radiomic Analysis

(2018) Ahmad Chaddad et al.   Frontiers in Oncology

Machine learning-based analysis of MR radiomics can help to improve the diagnostic performance of PI-RADS v2 in clinically relevant prostate cancer

(2017) Jing Wang et al.   EUROPEAN RADIOLOGY

Multiparametric Magnetic Resonance Imaging of the Prostate

(2017) Andriy Fedorov et al.   INVESTIGATIVE RADIOLOGY

The efficiency of multiparametric magnetic resonance imaging (mpMRI) using PI-RADS Version 2 in the diagnosis of clinically significant prostate cancer

(2016) Chenglin Zhao et al.   CLINICAL IMAGING

Grading of prostatic adenocarcinoma: current state and prognostic implications

(2016) Jennifer Gordetsky et al.   Diagnostic Pathology

Assessment of PI-RADS v2 for the Detection of Prostate Cancer

(2016) Moritz Kasel-Seibert et al.   EUROPEAN JOURNAL OF RADIOLOGY

The 2016 WHO Classification of Tumours of the Urinary System and Male Genital Organs—Part A: Renal, Penile, and Testicular Tumours

(2016) Holger Moch et al.   EUROPEAN UROLOGY

Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi-institutional study

(2016) Shoshana B. Ginsburg et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Validation of PI-RADS v.2 for prostate cancer diagnosis with MRI at 3T using an external phased-array coil

(2016) Matteo Baldisserotto et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities

(2015) M Vallières et al.   PHYSICS IN MEDICINE AND BIOLOGY

Prostate tumor delineation using multiparametric magnetic resonance imaging: Inter-observer variability and pathology validation

(2015) Peter Steenbergen et al.   RADIOTHERAPY AND ONCOLOGY

The detection of significant prostate cancer is correlated with the Prostate Imaging Reporting and Data System (PI-RADS) in MRI/transrectal ultrasound fusion biopsy

(2015) Hannes Cash et al.   WORLD JOURNAL OF UROLOGY

Whole-lesion apparent diffusion coefficient metrics as a marker of percentage Gleason 4 component within Gleason 7 prostate cancer at radical prostatectomy

(2014) Andrew B. Rosenkrantz et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation

(2014) Chintan Parmar et al.   PLoS One

Multiparametric MRI of prostate cancer: An update on state-of-the-art techniques and their performance in detecting and localizing prostate cancer

(2013) John V. Hegde et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Dynamic contrast-enhanced magnetic resonance imaging and pharmacokinetic models in prostate cancer

(2010) Tobias Franiel et al.   EUROPEAN RADIOLOGY

Classifier performance prediction for computer-aided diagnosis using a limited dataset

(2008) Berkman Sahiner et al.   MEDICAL PHYSICS

Prostate Cancer: Added Value of Subtraction Dynamic Imaging in 3T Magnetic Resonance Imaging with a Phased-array Body Coil

(2008) Jeong-Sik Yu et al.   YONSEI MEDICAL JOURNAL